MultiAgent Trace: Debugger for multi-agent conflicts

Automatically capture and explain conflicts and duplicate work when AI agents share state.

Problem

An Ask HN post directly asks: what broke when you added the second agent? Most multi-agent write-ups focus on quality, not failures. In practice, two agents may do the same work or conflict over shared state. Tools like Breadcrumb record personal actions but don't diagnose multi-agent conflicts.

Solution

A lightweight SDK/agent wrapper that logs each agent's actions and shared resource reads/writes, automatically detects conflicts (e.g., duplicate edits to the same file, same task run twice), and generates readable incident reports showing who did what and where the conflict is.

Users

AI engineers, indie developers, and small AI teams building or running multi-agent systems.

MVP

Library that integrates with existing multi-agent frameworks (LangChain, CrewAI, custom); log actions and state changes; detect simple conflicts (same resource modified by two agents within 5 minutes); generate Markdown reports; CLI to view timeline.

Revenue

Open-source core + hosted version ($15/month) with long-term storage and team dashboard; or charge per agent.

Why now

Multi-agent systems are moving from experiment to production, but debugging tools are severely lacking; big vendors offer generic observability, not multi-agent conflict diagnosis, leaving room for an indie.